Design of Multi-channel Sensor System for Sitting Posture Analysis

Abstract

At present, more people need to sit for a long time in daily life. However, bad sitting habits will undercut work efficiency and pose a threat to health. A sitting posture recognition system can help people maintain a correct sitting posture and reduce fatigue. In this paper, an office chair based on the Ardunio development board is designed and implemented with multi-channel sensors, using force sensors (MD 30-60, RP-L-110) as well as gyroscope sensors (MPU6050) mounted on the chair for sitting posture analysis. Then, Ardunio realizes the collection of sensor data and the data transmission with the host computer. Finally, through the experimental data analysis, seven postures of sitting upright, forward leaning, backward leaning, left leaning, right leg cross sitting and left leg cross sitting are investigated, with the results visually analyzed. The system proposed in this study has potential application prospects in health monitoring and disease prevention.